Price: $1,999.00

Length: 2 Days
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Modeling and Simulation (M&S) Training Workshop

Modeling and simulation (M&S) is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making.

A simulation is the execution of a model, represented by a computer program that gives information about the system being investigated. The simulation approach of analyzing a model is opposed to the analytical approach, where the method of analyzing the system is purely theoretical.

As this approach is more reliable, the simulation approach gives more flexibility and convenience.

The activities of the model consist of events, which are activated at certain points in time and in this way affect the overall state of the system. The points in time that an event is activated are randomized, so no input from outside the system is required.

Events exist autonomously and they are discrete so between the execution of two events nothing happens. The SIMSCRIPT provides a process-based approach of writing a simulation program. With this approach, the components of the program consist of entities, which combine several related events into one process.

In the field of simulation, the concept of “principle of computational equivalence” has beneficial implications for the decision-maker. Simulated experimentation accelerates and replaces effectively the “wait and see” anxieties in discovering new insight and explanations of future behavior of the real system.

Modeling and simulation are especially valuable for testing conditions that might be difficult to reproduce with hardware prototypes alone, especially in the early phase of the design process when hardware may not be available.

Iterating between modeling and simulation can improve the quality of the system design early, thereby reducing the number of errors found later in the design process.

The uses of simulation in business are varied and it is often utilized when conducting experiments on a real system is impossible or impractical, often because of cost or time.

The ability to analyze the model as it runs sets simulation modeling apart from other methods, such as those using Excel or linear programming. By being able to inspect processes and interact with a simulation model in action, both understanding and trust are quickly built.

More to the point, simulation modeling solves real-world problems safely and efficiently. It provides an important method of analysis which is easily verified, communicated and understood. Across industries and disciplines, simulation modeling provides valuable solutions by giving clear insights into complex systems.

All simulations are based on a mathematical model of the process being investigated.

Simulation allows a detailed study of the object before it is realized. The parameters of the mathematical model can be varied to examine various aspects of the process.

Modeling and Simulation (M&S) Training Workshop by Tonex

Modeling and Simulation Training Workshop is a 2-day training course introducing the key Modeling & Simulation (M&S) concepts, terminology of modern modeling and simulation technology, use cases and applications in operations research and systems engineering, verification and validation of critical functions, failure analysis, modeling and simulating crucial requirements such as performance, reliability, safety, security ,threats. Participants will  gain a broad knowledge of M&S concepts, use cases, applications, methods, procedures, schemes, natural languages, numerical data, and important mathematical topics.

Modeling and Simulation is a discipline for developing a level of understanding of the interaction of the parts of a system, and of the system as a whole. The level of understanding which may be developed via this discipline is seldom achievable via any other discipline.

A system is understood to be an entity which maintains its existence through the interaction of its parts and subsystems. A model is a simplified representation of the actual system, a system of system (SoS), or a capability intended to promote understanding.
A simulation generally refers to a computerized version of the model which is run over time to study the implications of the defined interactions. Simulations are generally iterative in there development.

Participants will learn how Modeling and simulation (M&S) can be used in  physical or logical representation of a given system, system of systems (SoS) and capabilities to generate data to predict risks and performance and make decisions.

TONEX 2-day course in modeling and simulation will provide the participants  the complete set of skills and knowledge  needed for modeling and simulation-project success. Participants will learn the latest and most-important modeling and simulation concepts and techniques in a short time. Topics are presented in an intuitive and understandable manner, making use of numerous examples, case studies, in-class exercises, and live demonstrations.

TONEX offers multiple modeling and simulation training offerings, tailoring to the need for mission-critical applications and systems engineering and preparing the participants for the critical modeling and simulation of components, subsytems, systems, system of systems (SoS), and capabilities, Modeling and simulation is a critical skill and TONEX offers an array of technical courses for engineers and managers focusing on real world scenarios used in all areas of engineering and other domains needing modeling and simulation.


Who Should Attend

Analysts, engineers, technicians, developers, managers, users/customers  and scientists with a range of exposure to and experience with M&S:

  • Systems engineers
  • Operations research/systems engineering
  • Physical scientists
  • Product development professionals
  • Verification and Validation (V&V)
  • Professionals in military, government sectors, aerospace, space, and other fields

Learning Objectives

After completing this course, the participants will be able to:

  • Learn the fundamentals of modeling and simulation (M&S)
  • Describe the key concepts and terminology of modeling and simulation
  • List the domains of use of M&S
  • Describe key real world application of modeling and simulation
  • Describe principles and theory of modeling and simulation for systems, systems of systems (SoS), capabilities and systems engineering
  • Gain insight into complex systems, capabilities and difficult problems through use of modeling and simulation
  • Discuss modeling and simulations methods and techniques for combat, Electronic Warfare, Radar Systems, RF Electronic Warfare, Electro-Optical, Infrared EO/IR, Systems, Radars, antennas, Phased-Array Antennas, threats and combat
  • Discuss modeling and simulations methods and techniques for other domains such as aerospace, deep space, transportation, functional safety, manufacturing, power and energy, cyber security, health care, training/education, weather forecasting, infrastructure, and testing

Course Agenda/Content

Introduction to Modeling and Simulation (M&S)

  • What is M&S?
  • Value of M&S
  • Concepts and context
  • Fundamental terms and concepts
  • Distributed simulation
  • Interoperability
  • M&S technology and processes
  • Applications of M&S
  • Acquisition, analysis, experimentation, planning, testing and training
  • Verification and validation
  • Analysis
  • Acquisition
  • Engineering
  • Mission Planning
  • Combat Engineering
  • Threat and Defense
  • Cybersecurity
  • Test and Evaluation
  • Verification and Validation
  • Operation Research
  • Experimentation
  • Aerospace Training
  • Medicine and Health Care
  • Manufacturing
  • Logistics and Supply Chain
  • Modern Transportation
  • Environment
  • Business
  • Social science
  • Power and Energy
  • Other Domains

Modeling and Simulation Implementation Methods

  • An attempt to represent real world
  • People
  • Processes
  • Capabilities
  • Equipment
  • Activities
  • Locations
  • Organization and Policies
  • Environments
  • Events
  • States
  • Stochastic Modeling
  • Physics-based Modeling
  • Structural Modeling
  • Finite Element
  • Computational fluid dynamics
  • Forecasting
  • Monte Carlo Simulation
  • Discrete Event Simulation
  • Continuous Simulation
  • Human behavior modeling
  • Multi-resolution Simulation
  • Other modeling methods
  • Simulation implementation
  • Modeling and simulation life-cycle
  • Modeling and simulation standards
  • Development processes
  • Conceptual modeling
  • Specialized modeling and simulation languages
  • Verification, validation, certification and accreditation
  • Distributed simulation and interoperability
  • Human-computer interaction and virtual environments
  • Semi-automated forces/computer generated forces
  • Stimulation

Modeling and Simulation Supporting Tools, Techniques, and Resources

  • Major simulation infrastructures
  • M&S resource repositories
  • Business and management of M&S
  • Management of M&S projects and processes
  • Statistics and probability
  • Mathematics
  • Model-Based Engineering using SysML Models
  • Design of Experiments (DOE)

Modeling and Simulation for Systems, System of Systems (SoS), Capabilities and Systems Engineering

  • Modeling Goals, Objectives, and Needs
  • Scope Modeling based on NASA’s process
  • Types of Models
  • Process Models
  • Physical Models
  • Mathematical Models
  • Simulation Models
  • Combination Models
  • Test and Evaluation
  • Verification and Validation (V&V)
  • C4ISR ( Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance)
  • Threat Simulation and Modeling
  • Electronic Warfare Modeling and Simulation
  • Electronic Warfare Threat Modeling and Simulation
  • Modeling and Simulation of Radar Systems
  • Modeling and Simulation in Electro-Optical and Infrared EO/IR Systems
  • Combat Engineering, Modeling and Simulation
  • Modeling and Simulation of RF Circuits
  • Simulations for RF Electronic Warfare
  • Modeling and Simulation of Antennas
  • Modeling and Simulation of Phased-Array Antennas
  • Using DoDAF to model operations, Systems, Capability, Services and Projects
  • Simulation of DoDAF artifacts and viewpoints
  • Integrated Performance Modeling and Simulation

Modeling and Simulation (M&S) Representation

  • Systems
  • System of Systems (SoS)
  • Human Behavior
  • Natural Environment
  • Modeling Process
  • Abstractions
  • Formalism
  • Design and Build Models
  • Conduct Feasibility Assessments
  • Knowledge Engineering
  • Simulation Concepts
  • Simulation Definition
  • Simulation Concept
  • Live Simulation
  • Virtual Simulation
  • Constructive Simulation
  • Simulation Methods
  • Mechanisms
  • Simulation Ethics
  • Discrete Event
  • Continuous

Workshop, Group Discussions and Case Studies

  • Discussing Tools: Matlab , Simulink, Scilab, Scicos, Arena, Simprocess
  • Tools, data, and information across the Enterprise
  • Strategic Vision and goals for DoD Modeling and Simulation (M&S)
  • Modeling and simulation (M&S) is an enabler of warfighting capabilities
  • Reuse and interoperability of models, simulations, and associated data
  • Visibility into the Modeling & Simulation (M&S) resources
  • Defense Enterprise Metacard Builder Resource (EMBR) tool; EMBR 2.0
  • Modeling & Simulation Guidance for the Acquisition
  • M&S Verification, Validation, and Accreditation (VV&A)
  • Modeling and Simulation (M&S) Management
  • Test and Evaluation Management
  • Acquisition Modeling and Simulation Master Plan
  • Best Practices for the Development of M&A
  • Manager’s Guide to the High Level Architecture (HLA) for M&S
  • Simulate Interoperability Standards Organization (SISO) Link 16 Simulation Case Study

Modern Transportation Modelling and Simulation Case Study

  • Stress analysis
  • Functional safety
  • Crash simulation
  • Air resistance
  • Manufacturing processes
  • Customer comfort
  • Economic problems

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